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This serves as a quick cheat-sheet for solving small Bayesian problems using a table.

Based in Sydney, Australia, Foundry is a blog by Rebecca Thao. Her posts explore modern architecture through photos and quotes by influential architects, engineers, and artists.
The Local Maximum Expand Your Perspective
Weekly Crypto Recap: EOS Ratings bombshell, crypto trading faked, and more!
Apr 1

Apr 1 Weekly Crypto Recap: EOS Ratings bombshell, crypto trading faked, and more!

Max Sklar
Podcast
Tech 2025 Podcast - Machine Learning Superstar
Mar 23

Mar 23 Tech 2025 Podcast - Machine Learning Superstar

Max Sklar
Podcast
Using Reflection Podcast - Open Ended Problems
Mar 2

Mar 2 Using Reflection Podcast - Open Ended Problems

Max Sklar
Podcast
Max on the Machine Yearning Podcast with Shane Mac
Sep 28

Sep 28 Max on the Machine Yearning Podcast with Shane Mac

Max Sklar
Podcast
Appearance on Run Your Mouth Podcast: Rooftop Porch Tour
Jul 23

Jul 23 Appearance on Run Your Mouth Podcast: Rooftop Porch Tour

Max Sklar
Podcast
AI For Growth: Improving Marketing Attribution
Jun 25

Jun 25 AI For Growth: Improving Marketing Attribution

Max Sklar
Podcast
Artificially Intelligent Podcast Appearance
Jun 12

Jun 12 Artificially Intelligent Podcast Appearance

Max Sklar
Podcast

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Subscribe on iTunes | Soundcloud | Stitcher | Odysee | Locals

Get Max's Free Cheat-Sheet on Bayesian Inference

Just sign up for the email list to keep up with exciting developments, floating ideas, and new projects from Max and his guests.

Thank you for joining The Local Maximum email list!

Download your free Bayesian Inference Page

This serves as a quick cheat-sheet for solving small Bayesian problems using a table.

The “Local Maximum” is a mathematical term referring to a point at which one needs to step down in order to reach new heights. But people - not just points - can get caught in a local maximum. That's what happens when we've gone as far as we can through one strategy which has gone stale and need to search for new ideas. This podcast is about examining technology, engineering, and social trends by expanding perspectives and moving beyond the Local Maximum both for ourselves and our algorithms.

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